10 datasets found
  1. a

    Glint360K face recognition dataset

    • academictorrents.com
    bittorrent
    Updated Aug 13, 2022
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    None (2022). Glint360K face recognition dataset [Dataset]. https://academictorrents.com/details/e5f46ee502b9e76da8cc3a0e4f7c17e4000c7b1e
    Explore at:
    bittorrent(128583192913)Available download formats
    Dataset updated
    Aug 13, 2022
    Authors
    None
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    Glint360K contains ** 17091657 ** images of ** 360232 ** individuals. By employing the Patial FC training strategy, baseline models trained on Glint360K can easily achieve state-of-the-art performance. Detailed evaluation results on the large-scale test set (e.g. IFRT, IJB-C and Megaface) are as follows: # 1. Evaluation on IFRT ** r ** denotes the sampling rate of negative class centers. | Backbone | Dataset | African | Caucasian | Indian | Asian | ALL | | —————— | —————- | ——- | ——- | ——— | ——- | ——- | | R50 | MS1M-V3 | 76.24 | 86.21 | 84.44 | 37.43 | 71.02 | | R124 | MS1M-V3 | 81.08 | 89.06 | 87.53 | 38.40 | 74.76 |

  2. f

    Comparison of Rank-1 identification scores (%) achieved by various methods...

    • plos.figshare.com
    xls
    Updated May 28, 2025
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    Zeeshan Ahmed Khan; Waqar Ahmed; Panos Liatsis (2025). Comparison of Rank-1 identification scores (%) achieved by various methods on the Megaface dataset. The best result is presented in bold. [Dataset]. http://doi.org/10.1371/journal.pone.0324485.t013
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Zeeshan Ahmed Khan; Waqar Ahmed; Panos Liatsis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Comparison of Rank-1 identification scores (%) achieved by various methods on the Megaface dataset. The best result is presented in bold.

  3. h

    mega

    • huggingface.co
    Updated Sep 1, 2024
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    백재현 (2024). mega [Dataset]. https://huggingface.co/datasets/LeBrony/mega
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 1, 2024
    Authors
    백재현
    Description

    LeBrony/mega dataset hosted on Hugging Face and contributed by the HF Datasets community

  4. Threat of shock face ID pooled mega-analysis

    • figshare.com
    txt
    Updated May 31, 2023
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    Oliver Robinson (2023). Threat of shock face ID pooled mega-analysis [Dataset]. http://doi.org/10.6084/m9.figshare.2198995.v1
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Oliver Robinson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A mega analysis (N=97) of the reaction time to face stimuli in this paper our original paper (http://www.sciencedirect.com/science/article/pii/S1053811911014017) and an unpublished dataset collected at University College London

  5. N

    Investigating the replicability of neural mechanisms underlying...

    • neurovault.org
    nifti
    Updated Feb 20, 2024
    + more versions
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    (2024). Investigating the replicability of neural mechanisms underlying anxiety-attenuated encoding of emotional faces: 3dMVM mega.nii Condition F [Dataset]. http://identifiers.org/neurovault.image:840618
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    niftiAvailable download formats
    Dataset updated
    Feb 20, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Condition F

    glassbrain

    Collection description

    Anxiety involves anticipating aversive outcomes and can impair neurocognitive processes,
    such as the ability to recall faces encoded during the anxious state. It is important to delineate
    and determine the replicability of these effects using induced anxiety in the general
    population, to understand its manifestation in anxiety disorders. This study therefore aimed to
    replicate prior research on the distinct impacts of threat-of-shock-induced anxiety on the
    encoding and recognition stage of emotional face processing, in a large asymptomatic sample
    (n=92). We successfully replicated previous results demonstrating impaired recognition of
    faces encoded under threat-of-shock. This was supported by a meta- and mega-analysis
    across three independent studies using the same paradigm (n=211). Underlying this, a whole brain fMRI analysis revealed enhanced activation in the posterior cingulate cortex (PCC),
    alongside previously seen activity in the anterior cingulate cortex (ACC) when combined in a
    mega-analysis with the fMRI findings we aimed to replicate. We further found replications of
    hippocampus activation when the retrieval and encoding states were congruent. Our results
    support the notion that anxiety disrupts face recognition, potentially due to attentional
    demands of anxious arousal competing with affective stimuli processing during encoding and
    suggest that regions of the cingulate cortex play pivotal roles in this.

    Subject species

    homo sapiens

    Modality

    fMRI-BOLD

    Analysis level

    group

    Cognitive paradigm (task)

    face working memory task

    Map type

    F

  6. h

    mega

    • huggingface.co
    Updated Mar 9, 2023
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    metaeval (2023). mega [Dataset]. https://huggingface.co/datasets/metaeval/mega
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    metaeval
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    metaeval/mega dataset hosted on Hugging Face and contributed by the HF Datasets community

  7. N

    Investigating the replicability of neural mechanisms underlying...

    • neurovault.org
    nifti
    Updated Feb 20, 2024
    + more versions
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    (2024). Investigating the replicability of neural mechanisms underlying anxiety-attenuated encoding of emotional faces: 3dMVM mega.nii threat encoding safe encoding t [Dataset]. http://identifiers.org/neurovault.image:840620
    Explore at:
    niftiAvailable download formats
    Dataset updated
    Feb 20, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    threat_encoding-safe_encoding t

    glassbrain

    Collection description

    Anxiety involves anticipating aversive outcomes and can impair neurocognitive processes,
    such as the ability to recall faces encoded during the anxious state. It is important to delineate
    and determine the replicability of these effects using induced anxiety in the general
    population, to understand its manifestation in anxiety disorders. This study therefore aimed to
    replicate prior research on the distinct impacts of threat-of-shock-induced anxiety on the
    encoding and recognition stage of emotional face processing, in a large asymptomatic sample
    (n=92). We successfully replicated previous results demonstrating impaired recognition of
    faces encoded under threat-of-shock. This was supported by a meta- and mega-analysis
    across three independent studies using the same paradigm (n=211). Underlying this, a whole brain fMRI analysis revealed enhanced activation in the posterior cingulate cortex (PCC),
    alongside previously seen activity in the anterior cingulate cortex (ACC) when combined in a
    mega-analysis with the fMRI findings we aimed to replicate. We further found replications of
    hippocampus activation when the retrieval and encoding states were congruent. Our results
    support the notion that anxiety disrupts face recognition, potentially due to attentional
    demands of anxious arousal competing with affective stimuli processing during encoding and
    suggest that regions of the cingulate cortex play pivotal roles in this.

    Subject species

    homo sapiens

    Modality

    fMRI-BOLD

    Analysis level

    group

    Cognitive paradigm (task)

    face working memory task

    Map type

    T

  8. h

    Continual-Mega-Neurips2025

    • huggingface.co
    Updated Jun 17, 2025
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    Continual-Mega (2025). Continual-Mega-Neurips2025 [Dataset]. https://huggingface.co/datasets/Continual-Mega/Continual-Mega-Neurips2025
    Explore at:
    Dataset updated
    Jun 17, 2025
    Authors
    Continual-Mega
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Continual-Mega/Continual-Mega-Neurips2025 dataset hosted on Hugging Face and contributed by the HF Datasets community

  9. h

    scraped-forum-threads-mega

    • huggingface.co
    Updated Jul 24, 2025
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    Dolores Haze (2025). scraped-forum-threads-mega [Dataset]. https://huggingface.co/datasets/dolores-haze/scraped-forum-threads-mega
    Explore at:
    Dataset updated
    Jul 24, 2025
    Authors
    Dolores Haze
    Description

    dolores-haze/scraped-forum-threads-mega dataset hosted on Hugging Face and contributed by the HF Datasets community

  10. h

    Mega-Bengali-Instructions

    • huggingface.co
    Updated Apr 11, 2023
    + more versions
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    AI4BD (2023). Mega-Bengali-Instructions [Dataset]. https://huggingface.co/datasets/AI4BD/Mega-Bengali-Instructions
    Explore at:
    Dataset updated
    Apr 11, 2023
    Dataset authored and provided by
    AI4BD
    Description

    AI4BD/Mega-Bengali-Instructions dataset hosted on Hugging Face and contributed by the HF Datasets community

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    Learn how you can add new datasets to our index.

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None (2022). Glint360K face recognition dataset [Dataset]. https://academictorrents.com/details/e5f46ee502b9e76da8cc3a0e4f7c17e4000c7b1e

Glint360K face recognition dataset

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
bittorrent(128583192913)Available download formats
Dataset updated
Aug 13, 2022
Authors
None
License

https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

Description

Glint360K contains ** 17091657 ** images of ** 360232 ** individuals. By employing the Patial FC training strategy, baseline models trained on Glint360K can easily achieve state-of-the-art performance. Detailed evaluation results on the large-scale test set (e.g. IFRT, IJB-C and Megaface) are as follows: # 1. Evaluation on IFRT ** r ** denotes the sampling rate of negative class centers. | Backbone | Dataset | African | Caucasian | Indian | Asian | ALL | | —————— | —————- | ——- | ——- | ——— | ——- | ——- | | R50 | MS1M-V3 | 76.24 | 86.21 | 84.44 | 37.43 | 71.02 | | R124 | MS1M-V3 | 81.08 | 89.06 | 87.53 | 38.40 | 74.76 |

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